Principles of Statistics for Engineers and Scientists 2/e
作者：William Navidi
原價：NT$ 1,180
內容介紹
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Description
Principles of Statistics for Engineers and Scientists, Second Edition, emphasizes statistical methods and how they are applied to problems in science and engineering. This text contains many examples that feature real, contemporary data sets, both to motivate students and to demonstrate connections to industry and scientific research. Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.
分類位置：
商管 > 統計 > 工程統計
New to This Edition
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More than 250 new exercises have been added to offer a wider variety of exercises for practice.
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Resistance to outliers content has been added to Chapter 1 to aid in understanding the differences between means and medians.
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Material on interpreting the slope of the least-squares line is now included in Chapter 2 as it is important to understand interpretation of results from linear regression.
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F-test for variance has been added to Chapter 7 because it is a frequently used method.
Features
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Linear models are introduced in Chapter 2 to give instructors the option of covering this important topic early.
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Many exercises involve interpreting computer output, giving students practice in this essential skill.
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Many examples and exercises use real data from scientific articles, which allow students to see real-world applications of the concepts and methods they are learning.
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Procedures for checking assumptions and selecting models are emphasized in the coverage of linear regression.
Table of Contents
1 Summarizing Univariate Data
2 Summarizing Bivariate Data
3 Probability
4 Commonly Used Distributions
5 Point and Interval Estimation for a Single Sample
6 Hypothesis Tests for a Single Sample
7 Inferences for Two Samples
8 Inference in Linear Models
9 Factorial Experiments
10 Statistical Quality Control
William Navidi
William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
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